E3S Web Conf.
Volume 196, 2020XI International Conference “Solar-Terrestrial Relations and Physics of Earthquake Precursors”
|Number of page(s)||13|
|Section||Physics of Earthquake Precursors|
|Published online||16 October 2020|
Principles of organizing earthquake forecasting based on multiparameter sensor-WEB monitoring data
1 Institute of Applied Physics RAS, 603950, 46 Ulianova str., Nizhni Novgorod, Russia
2 Space Research Institute RAS, 117998, 84/32 Profsoyuznaya str., Moscow, Russia
3 CEESMO, Chapman University, One University Drive, Orange CA 92866, USA
4 Korolev Rocket and Space Public Corporation Energia, Korolev, Moscow region, Russia
5 Fedorov Institute of Applied Geophysics, 129128, 9 Rostokinskaya str., Moscow, Russia
* Corresponding author: firstname.lastname@example.org
The paper describes an approach that allows, basing on the data of multiparameter monitoring of atmospheric and ionospheric parameters and using ground-based and satellite measurements, to select from the data stream a time interval indicating the beginning of the final stage of earthquake preparation, and finally using intelligent data processing to carry out a short-term forecast for a time interval of 2 weeks to 1 day before the main shock. Based on the physical model of the lithosphere-atmospheric-ionospheric coupling, the precursors are selected, the ensemble of which is observed only during the precursory periods, and their identification is based on morphological features determined by the physical mechanism of their generation, and not on amplitude selection based on statistical data processing. Basing on the developed maquette of the automatic processing service, the possibility of real-time monitoring of the situation in a seismically active region will be demonstrated using the territory of the Kamchatka region and the Kuril Islands.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.